🔥36氪•較早收集於 13m
SK 海力士與閃迪啟動 HBF 下一代儲存器全球標準化
#memory-standard#ai-inferencehbfsk-hynixsandiskhbf
💡New HBF memory standard for AI inference; key for efficient scaling
⚡ 30-Second TL;DR
有什麼變化
啟動 HBF 標準化聯盟
為什麼重要
推動高頻寬儲存器標準進展,對擴展 AI 推理至關重要,有助資料中心效率提升。
下一步行動
Review HBF specs on SK Hynix site for AI hardware integration planning.
誰應關注:Developers & AI Engineers
關鍵要點
- •啟動 HBF 標準化聯盟
- •針對 AI 推理工作負載
- •於閃迪米爾皮塔斯總部聯合舉辦
- •SK 海力士與閃迪合作
🧠 深度解析
背景與延伸:來自公開資料,非原文內容。引用 9 個來源。
🔑 增強重點摘要
- •HBF positions as a new memory layer between HBM and SSD, offering HBM-comparable bandwidth with 8-16x greater capacity at similar cost for AI inference.[1][2][4]
- •SanDisk's HBF leverages advanced BiCS NAND technology and proprietary CBA wafer bonding, with a first-generation prototype featuring 16-layer chips up to 512GB per stack.[2][4][5]
- •The collaboration includes a dedicated workstream under the Open Compute Project (OCP) and follows an MOU signed prior to the kick-off event.[1]
- •SanDisk formed a Technical Advisory Board with industry experts, including input from AI players and figures like Raja Koduri, and won 'Best of Show, Most Innovative Technology' at FMS 2025.[2][3][4]
🛠️ 技術深入
- •HBF uses SanDisk’s BiCS 3D-NAND technology with proprietary CBA (Chip-on-Wafer Bonding) wafer bonding to integrate NAND flash into HBM-like packages.[2][4]
- •First-generation HBF features 16-layer memory chips, enabling up to 512GB capacity per stack while matching HBM bandwidth.[5]
- •Architecture breaks NAND memory arrays into smaller sections operating simultaneously, stacked vertically for higher capacity (8-16x HBM) at comparable cost and power efficiency.[5]
- •SK hynix's related 'LPW NAND' trademark enhances I/O channels while reducing per-channel speed to lower power for AI inference.[5]
🔮 前景展望AI analysis grounded in cited sources
SanDisk targets HBF samples in 2H 2026
HBF standardization under OCP to drive ecosystem adoption
Joint workstream launched under Open Compute Project will define specs and foster industry-wide compatibility for AI infrastructure.[1]
HBF reduces AI data center TCO via capacity and efficiency
Positioned between HBM and SSD, HBF bridges performance-capacity gaps to lower total cost of ownership for inference workloads.[6]
⏳ 時間線
2025-07
SanDisk forms Technical Advisory Board for HBF development.
2025-08
SanDisk unveils HBF prototype at FMS 2025, wins Most Innovative Technology award, signs MOU with SK hynix.
2025-08
SK hynix files 'LPW NAND' trademark related to high-performance inference memory.
2026-02
SK hynix and SanDisk host HBF Spec Standardization Consortium kick-off at SanDisk Milpitas HQ.
📎 來源 (9)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
- barchart.com — Sk Hynix and Sandisk Begin Global Standardization of Next Generation Memory Hbf
- nasdaq.com — Sandisk Collaborate Sk Hynix Drive Standardization High Bandwidth Flash Memory
- sandisk.com — 2025 08 06 Sandisk to Collaborate with Sk Hynix to Drive Standardization of High Bandwidth Flash Memory Technology
- Tom's Hardware — Sandisk and Sk Hynix Join Forces to Standardize High Bandwidth Flash Memory a Nand Based Alternative to Hbm for AI Gpus Move Could Enable 8 16x Higher Capacity Compared to Dram
- trendforce.com — News Memory Giants Sandisk Sk Hynix Unite for Hbf Standard with Samples Expected in 2h26
- koreatimes.co.kr — Sk Hynix Sandisk Kick Off Standardization of Hbf
- storagenewsletter.com — Fms 2025 Sandisk to Collaborate with Sk Hynix
- koreabizwire.com — 344961
- en.gamegpu.com — Sandisk I Sk Hynix Sozdayut Novyj Standart High Bandwidth Flash Gibrid Nand I Hbm
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